-
Notifications
You must be signed in to change notification settings - Fork 94
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Rectangle training and training your own dataset #51
base: master
Are you sure you want to change the base?
Conversation
Thanks for the PR! Have you tested your model and notice any performance improvement over image resizing? |
I tried 512 * 512 and 64 * 512, because the graph for my requirements is 400 * 3000, so it is better to test 64 * 512. The line appeared at the first verification, but it didn't appear until 512 * 512 for the third time |
I didn't compare the effects of different sizes on wireframe datasets. But you can try, training should not be too long, I because the company has the need to detect the line, so I changed the code to run rectangular; And I also hope that you can merge or open a new branch to help the readers |
I saw several issues in the issue about how to train my own data set. The task my company now gives me is also to train my own data set, and then it is not a square picture. So I changed the code myself. Share with you, hope to help readers behind |
Hello @carlsummer, i modified train_test_split.py as per my requirements and trying to run but i am getting some error : ModuleNotFoundError: No module named 'python_developer_tools' |
@sachinkaundal |
@sachinkaundal |
Thank you so much for your response.
…On Tue, 13 Jul 2021 at 13:27, carlsummer ***@***.***> wrote:
@sachinkaundal <https://github.com/sachinkaundal>
I annotate it with label
—
You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHub
<#51 (comment)>, or
unsubscribe
<https://github.com/notifications/unsubscribe-auth/ASXDPSE6PSTINQPEGHINA63TXPWXHANCNFSM5AABRE6Q>
.
|
deploy onnx,and you can use onnxruntime run |
Thank you very much for your sharing. I modified some of your code according to my own requirements, mainly to meet the following functions
After my own modification, I can train my own data set, and I can train rectangle, so I don't have to be square